{"id":"W2634772828","doi":"","title":"Estrategias de colaboración en el cluster biotecnológico del Discovery District de Toronto. El caso del proyecto MaRS","year":2006,"lang":"es","type":"article","venue":"Revista mexicana de estudios canadienses","topic":"Regional Development and Innovation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Geography; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002102925,0.0006242344,0.0008460016,0.0001907576,0.0009696743,0.0008455291,0.0006878118,0.0004440537,0.00004235549],"category_scores_gemma":[0.000768463,0.0005925521,0.0002738928,0.001319417,0.0007579897,0.0009368189,0.0001182181,0.0003907247,0.00002035682],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006029219,"about_ca_system_score_gemma":0.005584048,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4831582,"about_ca_topic_score_gemma":0.2065581,"domain_scores_codex":[0.9948759,0.0008834099,0.0009598197,0.0007945518,0.0008169343,0.001669403],"domain_scores_gemma":[0.9975679,0.0005549424,0.0005465111,0.0004447316,0.000401902,0.0004840032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005020536,0.0003115241,0.2296311,0.0004061458,0.0003933872,0.0003777652,0.00376094,0.00017525,0.0003599802,0.7299662,0.02713417,0.006981578],"study_design_scores_gemma":[0.002819429,0.0002486072,0.8280871,0.0007462196,0.0005171977,0.0001127369,0.005370159,0.0008211661,0.0002612756,0.002490629,0.1568004,0.00172511],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796384,0.003575073,0.001114481,0.003440533,0.0003146197,0.001209173,0.0002145696,0.0001023001,0.01039083],"genre_scores_gemma":[0.9871485,0.007277044,0.0008062245,0.0008404142,0.001014376,0.0001350197,0.0001177028,0.00007118281,0.002589558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7274755,"threshold_uncertainty_score":0.9996526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0112424752941712,"score_gpt":0.2872211117963112,"score_spread":0.27597863650214,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}